ArticleThe Journal of cardiovascular nursing
Intention to Use mHealth in Older Adults With Heart Failure.
Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
69 citing papers in PubMed, 8 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Actual use, intention to use, and user attitudes toward mobile health applications for coronary heart disease self-management: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- Patient participation in self-monitoring regarding healthcare of heart failure: an integrated systematic review.BMC primary care · 2025Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.Journal of medical Internet research · 2022Pooled it
- Measurement of Digital Literacy Among Older Adults: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Effects of Different Telemonitoring Strategies on Chronic Heart Failure Care: Systematic Review and Subgroup Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Evaluation of Heart Failure Apps to Promote Self-Care: Systematic App Search.JMIR mHealth and uHealth · 2019Pooled it
- Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Efficacy of the ABC Pathway for Integrated Care Across Phenotypes of Patients with Atrial Fibrillation: A Latent-Class Analysis Report from the mAFA-II Clinical Trial.Journal of general internal medicine · 2025Trial
- Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Application of telemedicine system for older adults postoperative patients in community: a feasibility study.Frontiers in public health · 2024Trial
- A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Digital engagement and online health information seeking behaviour among older adults: findings from Türkiye.BMC geriatrics · 2026Article
- Smartphone Ownership Among Cardiology Inpatients Pre-COVID-19 and Post-COVID-19 Pandemic: Secondary Analysis of Randomized Controlled Trials.JMIR cardio · 2026Article
- Role of Technology Acceptance in the Telerehabilitation of Patients With Metabolic Syndrome: Longitudinal Study.JMIR rehabilitation and assistive technologies · 2026Article
- Socioeconomic differences in older adults' intention to use mhealth applications.BMC geriatrics · 2026Article
- Heterogeneous profiles of eHealth literacy in older adults with type 2 diabetes: a latent profile analysis and associated factors.Frontiers in public health · 2026Article
- eHealth literacy in older patients with cardiovascular disease: latent profile analysis and associated factors.Frontiers in public health · 2026Article
- Exploring the Association Between Behavioral Determinants and Intention to Use a Chatbot-Led Parenting Intervention by Caregivers of Adolescent Girls in South Africa: Cross-Sectional Study.JMIR pediatrics and parenting · 2025Article
- Cross-Sectional Study of the Changes in Attitudes of Post-Acute Coronary Syndromes Patients Towards Remote Biosignal Monitoring an eHealth Support in a 5-Year Interval.Journal of clinical medicine · 2025Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundmHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption.
objectiveThe primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF.
methodsAn adapted Technology Acceptance Model was used to guide this cross-sectional, correlational study. Convenience sampling was used to identify participants from a large university hospital and online.
resultsA total of 129 older adults with HF participated in the study. Social influence (β = 0.17, P = .010), perceived ease of use (β = 0.16, P < .001), and perceived usefulness (β = 0.33, P < .001) were significantly associated with intention to use mHealth even after controlling for potential confounders (age, gender, race, education, income, and smartphone use). Perceived financial cost and eHealth literacy were not significantly associated with intention to use mHealth.
conclusionsResearchers should consider using the participatory approach in developing their interventions to ensure that their mHealth-based interventions will not only address the patient's HF self-management needs but also be easy enough to use even for those who are less technology savvy.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.